Adaptive Identification and Control of Uncertain Systems with Non smooth Dynamics

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  • Author : Jing Na
  • Publisher : Academic Press
  • Pages : 336 pages
  • ISBN : 0128136847
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Adaptive Identification and Control of Uncertain Systems with Non smooth Dynamics

Download or Read online Adaptive Identification and Control of Uncertain Systems with Non smooth Dynamics full in PDF, ePub and kindle. this book written by Jing Na and published by Academic Press which was released on 12 June 2018 with total page 336 pages. We cannot guarantee that Adaptive Identification and Control of Uncertain Systems with Non smooth Dynamics book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamics (e.g., backlash, dead zone, friction, saturation, etc). The authors present recent research results for the modelling and control designs of uncertain systems with nonsmooth dynamics, such as friction, dead-zone, saturation and hysteresis, etc., with particular applications in servo systems. The book is organized into 19 chapters, distributed in five parts concerning the four types of nonsmooth characteristics, namely friction, dead-zone, saturation and hysteresis, respectively. Practical experiments are also included to validate and exemplify the proposed approaches. This valuable resource can help both researchers and practitioners to learn and understand nonlinear adaptive control designs. Academics, engineers and graduate students in the fields of electrical engineering, control systems, mechanical engineering, applied mathematics and computer science can benefit from the book. It can be also used as a reference book on adaptive control for servo systems for students with some background in control engineering. Explains the latest research outputs on modeling, identification and adaptive control for systems with nonsmooth dynamics Provides practical application and experimental results for robotic systems, and servo motors

Adaptive Identification and Control of Uncertain Systems with Non smooth Dynamics

Adaptive Identification and Control of Uncertain Systems with Non smooth Dynamics
  • Author : Jing Na,Qiang Chen,Xuemei Ren
  • Publisher : Academic Press
  • Release : 12 June 2018
GET THIS BOOK Adaptive Identification and Control of Uncertain Systems with Non smooth Dynamics

Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamics (e.g., backlash, dead zone, friction, saturation, etc). The authors present recent research results for the modelling and control designs of uncertain systems with nonsmooth dynamics, such as friction, dead-zone, saturation and hysteresis, etc., with particular applications in servo systems. The book is organized into 19 chapters, distributed in five parts concerning the four

Adaptive Identification and Control of Uncertain Systems with Non Smooth Dynamics

Adaptive Identification and Control of Uncertain Systems with Non Smooth Dynamics
  • Author : Jing Na,Qiang Chen,Xuemei Ren
  • Publisher : Academic Press
  • Release : 01 June 2018
GET THIS BOOK Adaptive Identification and Control of Uncertain Systems with Non Smooth Dynamics

Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics reports on the latest research outputs on the modeling, identification and adaptive control of systems with non-smooth dynamics (e.g. backlash, dead zone, friction, saturation, etc.). The book consists of two parts, with Part One discussing several new models that represent non-smooth dynamics embedded in systems and their associated modeling and identification (parameter estimation) methodologies. Part Two of the book proposes advanced control designs for uncertain systems, where previously derived

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  • Author : Alexey Beskopylny,Mark Shamtsyan
  • Publisher : Springer Nature
  • Release : 01 December 2021
GET THIS BOOK XIV International Scientific Conference INTERAGROMASH 2021

This book contains original and fundamental research papers in the following areas: engineering technologies for precision agriculture, agricultural systems management and digitalization in agriculture, logistics in agriculture, and other topics. Selected materials of the largest regional scientific event—INTERAGROMASH 2021 conference–included in this book present the results of the latest research in the areas of precision agriculture and agricultural machinery industry. The book is aimed for professionals and practitioners, for researchers, scholars, and producers. The materials presented here are used

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  • Author : Jing Zhou,Changyun Wen
  • Publisher : Springer
  • Release : 08 January 2008
GET THIS BOOK Adaptive Backstepping Control of Uncertain Systems

This book employs the powerful and popular adaptive backstepping control technology to design controllers for dynamic uncertain systems with non-smooth nonlinearities. Various cases including systems with time-varying parameters, multi-inputs and multi-outputs, backlash, dead-zone, hysteresis and saturation are considered in design and analysis. For multi-inputs and multi-outputs systems, both centralized and decentralized controls are addressed. This book not only presents recent research results including theoretical success and practical development such as the proof of system stability and the improvement of system

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Adaptive Backstepping Control of Uncertain Systems with Actuator Failures  Subsystem Interactions  and Nonsmooth Nonlinearities
  • Author : Wei Wang,Changyun Wen,Jing Zhou
  • Publisher : CRC Press
  • Release : 18 September 2017
GET THIS BOOK Adaptive Backstepping Control of Uncertain Systems with Actuator Failures Subsystem Interactions and Nonsmooth Nonlinearities

In practice, actuators often undergo failures and various factors influence its effectiveness. Also due to the increasing complexity of large-scale systems, subsystems are often interconnected, whereas the interactions between any two subsystems are difficult to deal with. This book details a series of new methodologies of designing and analyzing adaptive backstepping control systems involving treatment on actuator failures, subsystem interactions and nonsmooth nonlinearities. Moreover, it discusses some interesting open issues in adaptive failure accommodation, decentralized adaptive control and distributed adaptive

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  • Publisher : Academic Press
  • Release : 16 November 2019
GET THIS BOOK Wearable Robotics

Wearable Robotics: Systems and Applications provides a comprehensive overview of the entire field of wearable robotics, including active orthotics (exoskeleton) and active prosthetics for the upper and lower limb and full body. In its two major sections, wearable robotics systems are described from both engineering perspectives and their application in medicine and industry. Systems and applications at various levels of the development cycle are presented, including those that are still under active research and development, systems that are under preliminary

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Dynamic Surface Control of Uncertain Nonlinear Systems
  • Author : Bongsob Song,J. Karl Hedrick
  • Publisher : Springer Science & Business Media
  • Release : 16 May 2011
GET THIS BOOK Dynamic Surface Control of Uncertain Nonlinear Systems

Although the problem of nonlinear controller design is as old as that of linear controller design, the systematic design methods framed in response are more sparse. Given the range and complexity of nonlinear systems, effective new methods of control design are therefore of significant importance. Dynamic Surface Control of Uncertain Nonlinear Systems provides a theoretically rigorous and practical introduction to nonlinear control design. The convex optimization approach applied to good effect in linear systems is extended to the nonlinear case

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  • Author : Gang Tao
  • Publisher : John Wiley & Sons
  • Release : 09 July 2003
GET THIS BOOK Adaptive Control Design and Analysis

A systematic and unified presentation of the fundamentals of adaptive control theory in both continuous time and discrete time Today, adaptive control theory has grown to be a rigorous and mature discipline. As the advantages of adaptive systems for developing advanced applications grow apparent, adaptive control is becoming more popular in many fields of engineering and science. Using a simple, balanced, and harmonious style, this book provides a convenient introduction to the subject and improves one's understanding of adaptive control

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Fundamental Research in Electrical Engineering
  • Author : Shahram Montaser Kouhsari
  • Publisher : Springer
  • Release : 25 July 2018
GET THIS BOOK Fundamental Research in Electrical Engineering

This volume presents the selected papers of the First International Conference on Fundamental Research in Electrical Engineering, held at Khwarazmi University, Tehran, Iran in July, 2017. The selected papers cover the whole spectrum of the main four fields of Electrical Engineering (Electronic, Telecommunications, Control, and Power Engineering).

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  • Author : Haijun Zhang,Yuehui Chen,Xianghua Chu,Zhao Zhang,Tianyong Hao,Zhou Wu,Yimin Yang
  • Publisher : Springer Nature
  • Release : 20 October 2022
GET THIS BOOK Neural Computing for Advanced Applications

The two-volume Proceedings set CCIS 1637 and 1638 constitutes the refereed proceedings of the Third International Conference on Neural Computing for Advanced Applications, NCAA 2022, held in Jinan, China, during July 8–10, 2022. The 77 papers included in these proceedings were carefully reviewed and selected from 205 submissions. These papers were categorized into 10 technical tracks, i.e., neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the

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  • Author : Fouad Giri,Er-Wei Bai
  • Publisher : Springer
  • Release : 22 September 2010
GET THIS BOOK Block oriented Nonlinear System Identification

Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time. These include: iterative and over-parameterization techniques; stochastic and frequency approaches; support-vector-machine, subspace, and separable-least-squares methods; blind identification method; bounded-error method; and decoupling inputs approach. The identification methods are presented by authors who have either invented them or contributed significantly to their development. All the

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  • Publisher : Springer
  • Release : 14 October 2015
GET THIS BOOK Advances in Neural Networks ISNN 2015

The volume LNCS 9377 constitutes the refereed proceedings of the 12th International Symposium on Neural Networks, ISNN 2015, held in Jeju, South Korea in October 2015. The 55 revised full papers presented were carefully reviewed and selected from 97 submissions. These papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, memristive neurodynamics, computer vision, signal processing, machine learning, and optimization.